Senior Data Scientist: Predictive Modeling & Insights

Datalabusa; Westminster (CO); On-site; USD 110,000 - 170,000; Full time

Benefits offered by this job

Health, Dental, and Vision plans

401(k) Retirement Savings Plan

Paid Time Off

Company Holidays

Employee Assistance Program (EAP)

Job summary

DataLab USA™ is seeking a quantitative analytics professional to build and maintain predictive models across the full lifecycle, delivering insights that drive client marketing decisions.

The role requires advanced degrees (or equivalent experience), strong SQL, and programming skills, plus proficiency in R/Python, Tableau, and Excel. Experience in financial or insurance industries is highly valued, with 3–5 years in database marketing and data mining.

Qualifications

• MS/PhD in quantitative discipline or BS with commensurate experience.
• Regular SQL use for querying data.
• Experience programming with at least one language.
• Use of statistical software (e.g., R, Python).
• Experience with Tableau (or other data visualization platform).
• Experience with Excel.
• Financial or insurance industry experience strongly preferred.
• 3-5 years of Database Marketing and Data Mining experience.

Responsibilities

• Build, implement and maintain predictive models through their full lifecycle.
• Identify patterns & trends in data, and provide insights to enhance business decision making.
• Identify challenges and opportunities from client strategy discussions and taking ownership of solution.
• Set up and monitor monthly model recalibration process.
• Generate complex ad-hoc analyses combining disparate concepts or creating new approaches.
• Design and create new analytic procedures & automation.
• Review corporate model scoring QC.
• Review corporate data transformation QC.

Skills

SQL

Programming language

Statistical software (R/Python)

Education

MS/PhD in quantitative discipline or BS with commensurate experience

Tools

Tableau

Excel

Job description

DataLab USA™ is seeking a quantitative analytics professional to build and maintain predictive models across the full lifecycle, delivering insights that drive client marketing decisions.

The role requires advanced degrees (or equivalent experience), strong SQL, and programming skills, plus proficiency in R/Python, Tableau, and Excel. Experience in financial or insurance industries is highly valued, with 3–5 years in database marketing and data mining.